Evidence map›Paper›PMID 41294417›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Loong: An Open-Source Platform for Full-Size Universal Humanoid Robot Toward Better Practicality.

Lei Jiang, Heng Zhang, Boyang Xing, Zhenjie Liang, Zeyuan Sun, Jingran Cheng, Song Zhou, Xu Song, Xinyue Li, Hai Zhou and 2 more

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lei JiangThe National and Local Co-Build Humanoid Robotics Innovation Center, Shanghai 201203, China.
Heng ZhangHumanoid Robot (Shanghai) Co., Ltd., Shanghai 201203, China.
Boyang XingThe National and Local Co-Build Humanoid Robotics Innovation Center, Shanghai 201203, China.
Zhenjie LiangThe National and Local Co-Build Humanoid Robotics Innovation Center, Shanghai 201203, China.
Zeyuan SunThe National and Local Co-Build Humanoid Robotics Innovation Center, Shanghai 201203, China.
Jingran ChengHumanoid Robot (Shanghai) Co., Ltd., Shanghai 201203, China.
Song ZhouHumanoid Robot (Shanghai) Co., Ltd., Shanghai 201203, China.
Xu SongHumanoid Robot (Shanghai) Co., Ltd., Shanghai 201203, China.
Xinyue LiHumanoid Robot (Shanghai) Co., Ltd., Shanghai 201203, China.
Hai ZhouHumanoid Robot (Shanghai) Co., Ltd., Shanghai 201203, China.
Yongyao LiThe National and Local Co-Build Humanoid Robotics Innovation Center, Shanghai 201203, China.
Yufei LiuThe National and Local Co-Build Humanoid Robotics Innovation Center, Shanghai 201203, China.

Funding

the National Natural Science Foundation of China 52205035
6 · The paper itself

Abstract

In recent years, humanoid robots have made substantial advances in motion control and multimodal interaction. However, full-size humanoid robots face significant technical challenges due to their inherent geometric and physical properties, leading to large inertia of humanoid robots and substantial driving forces. These characteristics result in issues such as limited biomimetic capabilities, low control efficiency, and complex system integration, thereby restricting practical applications of full-size humanoid robots in real-world settings. To address these limitations, this paper incorporates a biomimetic design approach that draws inspiration from biological structures and movement mechanisms to enhance the robot's human-like movements and overall efficiency. The platform introduced in this paper, Loong, is designed to overcome these challenges, offering a practically viable solution for full-size humanoid robots. The research team has innovatively used highly biomimetic joint designs to enhance Loong's capacity for human-like movements and developed a multi-level control architecture along with a multi-master high-speed real-time communication mechanism that significantly improves its control efficiency. In addition, Loong incorporates a modular system integration strategy, which offers substantial advantages in mass production and maintenance, which improves its adaptability and practical utility for diverse operational environments. The biomimetic approach not only enhances Loong's functionality but also enables it to perform better in complex and dynamic environments. To validate Loong's design performance, extensive experimental tests were performed, which demonstrated the robot's ability to traverse complex terrains such as 13 cm steps and 20° slopes and its competence in object manipulation and transportation. These innovations provide a new design paradigm for the development of full-size humanoid robots while laying a more compatible foundation for the development of hardware platforms for medium- and small-sized humanoid robots. This work makes a significant contribution to the practical deployment of humanoid robots.

Indexed as

full-size humanoid robothuman-like designmodular system integrationmulti-level control architectureopen-source platform

Identifiers

PMID41294417
PMCPMC12650306

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.